A unified model for reconstruction and [formula omitted] mapping of accelerated 7T data using the quantitative recurrent inference machine.

MLA

Zhang, Chaoping, et al. “A Unified Model for Reconstruction and [Formula Omitted] Mapping of Accelerated 7T Data Using the Quantitative Recurrent Inference Machine.” NeuroImage, vol. 264, Dec. 2022, p. N.PAG. EBSCOhost, https://doi.org/10.1016/j.neuroimage.2022.119680.

APA

Zhang, C., Karkalousos, D., Bazin, P.-L., Coolen, B. F., Vrenken, H., Sonke, J.-J., Forstmann, B. U., Poot, D. H. J., & Caan, M. W. A. (2022). A unified model for reconstruction and [formula omitted] mapping of accelerated 7T data using the quantitative recurrent inference machine. NeuroImage, 264, N.PAG. https://doi.org/10.1016/j.neuroimage.2022.119680

Chicago

Zhang, Chaoping, Dimitrios Karkalousos, Pierre-Louis Bazin, Bram F. Coolen, Hugo Vrenken, Jan-Jakob Sonke, Birte U. Forstmann, Dirk H.J. Poot, and Matthan W.A. Caan. 2022. “A Unified Model for Reconstruction and [Formula Omitted] Mapping of Accelerated 7T Data Using the Quantitative Recurrent Inference Machine.” NeuroImage 264 (December): N.PAG. doi:10.1016/j.neuroimage.2022.119680.